Contact center as a service

A contact centre is the team and tooling that handle inbound customer contacts across every channel, including voice, chat, email, and social. The term replaced call centre as support expanded beyond telephony, and it covers workforce management, quality assurance, and routing as well as the agents themselves.

IVR is an automated telephony system that plays recorded or synthesized prompts and routes callers based on their input. Touch-tone (DTMF) menus require keypad presses. Directed dialogue lets callers speak from a limited list of options. Natural language or conversational IVR interprets open-ended speech to identify intent. Success is typically measured by containment rate: the share of calls resolved without a human agent. Deep menu trees are a common source of customer friction, causing repeat prompts and abandoned calls. OnClarity’s AI agents work across chat and voice, handling voice interactions conversationally.

Routing is deciding which agent, team, or AI agent receives a contact, based on intent, language, skill, customer tier, and availability. Accurate routing is the cheapest available reduction in handle time, because a misrouted contact pays the cost of being read and reassigned twice.

SIP trunking, short for Session Initiation Protocol trunking, carries voice calls over an IP network between a contact center platform and a telephony provider. It replaces physical PRI or analog phone lines with a virtual connection, sized by concurrent call capacity and codec choice. For an AI voice agent, the trunk is where audio enters and leaves the system. Codec quality, jitter, and capacity limits all directly affect how natural the agent sounds and how quickly it responds. Trunk health ties directly to latency, since a congested trunk adds delay before the agent even starts processing audio. Example: provisioning a dedicated test trunk and phone number lets a team run a proof of concept with OnClarity’s AI agents answering live calls, before wider rollout across the rest of the queue.

On premise means software runs on servers the customer owns or controls, inside their own data center or private cloud, instead of the vendor’s environment. In an AI contact center, on-premise deployment gives regulated operators direct control over where conversation data is processed and stored. This matters when telephony investments, internal audit rules, or sector regulation make external hosting difficult to justify. Example: a utility keeps call recordings inside its own network, while the AI model itself runs in an isolated environment the utility controls directly. The trade-off is real. The customer takes on hardware cost, patching and upgrade cycles, and the engineering staff needed to run the stack. The vendor no longer carries that work. Many enterprises land on a hybrid model instead. They pair on-premise components with private cloud for everything that does not require strict data isolation, which keeps costs lower than a fully on-premise build.